You're the bridge between raw operational chaos and polished analytics.
Building ETL/ELT pipelines that ingest, transform, and serve data at scale
Designing warehouse schemas (star schemas, fact tables, the whole dimensional modeling thing)
Creating pre-aggregated datasets so dashboards load fast and analysts stay happy
Making sure data flows reliably from source systems → transformations → analytics layer
Partnering with analytics team to understand what data they actually need
Optimizing the infrastructure so it doesn't cost a fortune or fall over
Building data quality checks because garbage in = garbage out

Requirements

5+ years in data engineering (not just DBA work — actual pipeline and warehouse experience)
SQL fluency — complex transformations, window functions, performance tuning
ETL/ELT chops — you've built pipelines that process serious volume
Data modeling experience — star schemas, SCDs, fact vs dimension tables
Python or C# — for the stuff SQL can't do
Cloud experience — Azure preferred (Data Factory, Azure SQL, Functions)
Bonus points for SaaS or multi-tenant analytics experience
Restaurant/retail/loyalty domain knowledge
Real-time or near-real-time data pipeline experience
Having opinions about dbt, Airflow, or modern data stack tools

Benefits

Generous time off plan
Fully remote work & support to assist with making your remote office space as comfortable as possible!
Continuous virtual coaching and support
Comprehensive health benefits
Subsidized gym membership
Performance recognition
Professional development program
Growth opportunities (we really mean it!)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLELTSQLdata modelingPythonC#real-time data pipelinesdata quality checksperformance tuningdimensional modeling

Soft Skills

collaborationproblem-solvinganalytical thinkingcommunicationorganizational skills